Generative AI Engineer (Intern)

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

What You'll Do?

• Support delivery of agentic AI and AWS modernization work across our three pillars: Data Platform Modernization, Application & Database Modernization, and AI Agents for Apps.
• Help build and test components of AI agents, orchestration, retrieval pipelines, evaluation harnesses under FDE guidance, working with real (not demo) data wherever possible.
• Assist in converting existing product or process functionality into callable agent tools, under supervision.
• Sit in on architecture sessions and customer discussions to learn how design decisions get made and defended; you'll observe and contribute, not lead.
• Help document agent decisions and test evidence so outputs are traceable and defensible.
• Bring back what you learn from shadowing engagements into small improvements you can own.

What we're looking for?

• Currently pursuing, or recently completed, a degree in Computer Science, Engineering, or a related field.
• A foundation in Python (and ideally some TypeScript) from coursework, personal projects, or prior internships no professional production experience required.
• Genuine curiosity about agentic AI: how agents plan, use tools, retrieve context, and get evaluated. You don't need to have shipped an agent, you need to want to learn how they're built properly.
• Basic familiarity with cloud concepts; AWS exposure through coursework, certifications-in-progress, or personal projects is a plus.
• Comfort with testing-driven habits, willingness to learn to write test cases before code, not after.

You'll be preferred if you have

• Personal projects or coursework involving LangGraph, CrewAI, Strands Agents, or similar orchestration frameworks.
• Exposure to RAG concepts chunking, embeddings, retrieval, even at a conceptual or academic level.
• AWS certifications in progress (Cloud Practitioner, Solutions Architect Associate, or similar).